...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of hydrogen energy >Statistical and experimental investigation of the influence of fuel injection strategies on CRDI engine assisted CNG dual fuel diesel engine
【24h】

Statistical and experimental investigation of the influence of fuel injection strategies on CRDI engine assisted CNG dual fuel diesel engine

机译：CRDI发动机辅助CNG双燃料柴油发动机燃料喷射策略影响的统计与实验研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With an alarming enlargement in vehicular density, there is a threat to the environment due to toxic emissions and depleting fossil fuel reserves across the globe. This has led to the perpetual exploration of clean energy resources to establish sustainable transportation. Researchers are continuously looking for the fuels with clean emission without compromising much on vehicular performance characteristics which has already been set by efficient diesel engines. In this study, the combustion, performance and emission characteristics of CRDI diesel engine assisted CNG dual fuel research engine operated at constant speed of 1500 rpm with variable engine load (16, 20 and 24 NM) to analyses the influence of fuel injection timings (7.5, 12.5 and 17.5 SOI) and fuel injection pressure (500, 750 and 1000 bar) under reactivity-controlled compression ignition (RCCI) mode. In the case of a fuel injection pressure of 1000 bar, the maximum brake specific fuel consumption of 0.42 kg/kWh is registered with a brake mean effective pressure of 3.2 bar. Response surface methodology has been used in this analysis for predicting the optimal input parameters (engine load, fuel injection timing, and fuel injection pressure), which results in an optimal combination of performance (BP, BTHE, and BSFC) and emission (HC, NOx, and CO) parameters. A variety of optimal solutions based on the desirability method is obtained from the model, and optimal input parameters is suggested as load 20(Nm), injection pressure 750(Bar), and injection timing (BTDC) 12.5. Additionally, to obtain a & lsquo;regression model & rsquo; a statistically significant test (ANOVA) is developed. Results have shown that the suggested & lsquo;Regression Model & rsquo; is best fitted to 0.095 standard deviations, 0.972 corrected R2, and 18.482 acceptable accuracy.(c) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译：由于车辆密度的惊人扩大，由于毒性排放和全球化石燃料储备造成的环境存在威胁。这导致了对清洁能源的永久探索，以建立可持续运输。研究人员持续寻找具有清洁排放的燃料，而不会影响已经通过高效柴油发动机设置的车辆性能特征。在本研究中，CRDI柴油发动机辅助CNG双燃料研究发动机的燃烧，性能和排放特性以恒定的速度为1500 rpm的恒定速度，可变发动机负载（16,20和24 nm）分析燃料喷射定时的影响（7.5在反应性控制的压缩点火（RCCI）模式下，12.5和17.5 SOI）和燃料喷射压力（500,750和1000杆）。在1000巴的燃料喷射压力的情况下，在3.2巴的制动器平均有效压力下记录0.42kg / kWh的最大制动燃料消耗。在该分析中使用了响应表面方法，以预测最佳输入参数（发动机负荷，燃料喷射正时和燃料喷射压力），这导致性能（BP，BTHE和BSFC）和发射的最佳组合（HC， nox和co）参数。从模型获得基于期望方法的各种最佳解决方案，并且建议最佳输入参数作为负载20（nm），喷射压力750（bar）和喷射正时（btdc）12.5。另外，获得A＆LSQU;回归模型和rsquo;开发了统计上显着的测试（ANOVA）。结果表明，建议＆lsquo;回归模型和rsquo;最适合0.095标准偏差，0.972校正R2和18.482可接受的准确性。（c）2021氢能源出版物LLC。 elsevier有限公司出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号